A Super-Resolution Framework for 3-D High-Resolution and High-Contrast Imaging Using 2-D Multislice MRI

By Richard Z. Shilling, Trevor Q. Robbie, T. Bailloeul, K. Mewes, R. Mersereau, M. Brummer. 2009

119 citations recorded by the source corpus.

Subfields: Computational Mechanics, Radiology, Nuclear Medicine and Imaging

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Erik H. W. Meijering
2. Wiro J. Niessen

In Radiology, Nuclear Medicine and Imaging

1. Erik H. W. Meijering
2. Arvid Lundervold

Citations in the corpus

• Super‐resolution methods in MRI: Can they improve the trade‐off between resolution, signal‐to‐noise ratio, and acquisition time? (2012, methodology): “Extensive quantitative and qualitative experiments have already been performed in (20), that focused on optimizing the acquisition of the LR data, considering the number of slice stacks, the slice thickness, SNR in the LR images and more.”